New Results
FIND: Identifying Functionally and Structurally Important Features in Protein Sequences with Deep Neural Networks
Ranjani Murali, James Hemp, Victoria Orphan, Yonatan Bisk
doi: https://doi.org/10.1101/592808
Ranjani Murali
1Division of Geological and Planetary Sciences, California Institute of Technology
James Hemp
2School of Medicine, University of Utah
Victoria Orphan
1Division of Geological and Planetary Sciences, California Institute of Technology
Yonatan Bisk
3Paul G. Allen School of Computer Science & Engineering, University of Washington

Article usage
Posted March 30, 2019.
FIND: Identifying Functionally and Structurally Important Features in Protein Sequences with Deep Neural Networks
Ranjani Murali, James Hemp, Victoria Orphan, Yonatan Bisk
bioRxiv 592808; doi: https://doi.org/10.1101/592808
Subject Area
Subject Areas
- Biochemistry (8831)
- Bioengineering (6536)
- Bioinformatics (23493)
- Biophysics (11818)
- Cancer Biology (9235)
- Cell Biology (13350)
- Clinical Trials (138)
- Developmental Biology (7453)
- Ecology (11432)
- Epidemiology (2066)
- Evolutionary Biology (15183)
- Genetics (10458)
- Genomics (14057)
- Immunology (9193)
- Microbiology (22222)
- Molecular Biology (8833)
- Neuroscience (47672)
- Paleontology (352)
- Pathology (1432)
- Pharmacology and Toxicology (2493)
- Physiology (3741)
- Plant Biology (8098)
- Synthetic Biology (2226)
- Systems Biology (6046)
- Zoology (1258)